Experiments
Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).
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Prediction of missed cleavage sites in tryptic peptides aids protein identification in proteomics.
PMID 17203985 · PMC2664920 · Journal of proteome research · 2007 · 8 claims · 4 setups
An information-theoretic log-likelihood scoring method can predict experimentally observed missed cleavage sites from amino acid sequence alone with up to 90% accuracy.
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Has reproduction · 76
Tracing human genetic histories and natural selection with precise local ancestry inference.
PMID 40379651 · PMC12084304 · Nature communications · 2025 · 7 claims · 7 setups
Orchestra, a two-stage LAI method combining a recombination-distance base layer with a deep learning (convolutional + attention) smoothing module, outperforms RFmix, FLARE and Gnomix in precision and recall across simulated admixture generations.
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Local combinational variables: an approach used in DNA-binding helix-turn-helix motif prediction with sequence information.
PMID 19651875 · PMC2761287 · Nucleic acids research · 2009 · 8 claims · 7 setups
The LCV approach predicts HTH motifs with 93.29% accuracy, 93.93% sensitivity and 92.66% specificity using only primary sequence information
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Ab initio identification of putative human transcription factor binding sites by comparative genomics.
PMID 15865625 · PMC1097714 · BMC bioinformatics · 2005 · 8 claims · 5 setups
An integrated algorithm combining human-mouse genomic comparison, motif overrepresentation, and coregulation filters (GO annotation and microarray coexpression) can identify candidate transcription factor binding sites genome-wide
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Using multiple alignments to improve seeded local alignment algorithms.
PMID 16100379 · PMC1185574 · Nucleic acids research · 2005 · 8 claims · 2 setups
Using information implicit in a multiple alignment to dynamically build a spaced-seed index weighted toward promising regions increases sensitivity of local alignment search compared to indexing a sequence alone
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Motif discovery in promoters of genes co-localized and co-expressed during myeloid cells differentiation.
PMID 19059999 · PMC2632922 · Nucleic acids research · 2009 · 6 claims · 8 setups
A novel multi-step computational method (built on approximate pattern enumeration, binomial over-representation scoring with FDR correction, and k-medoids clustering) can identify over-represented motifs in a selected set of promoters relative to a background promoter set.
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Sequence similarity network reveals common ancestry of multidomain proteins.
PMID 18475320 · PMC2377100 · PLoS computational biology · 2008 · 8 claims · 6 setups
Traditional homology definitions do not capture multidomain evolution; the authors extend the definition to include domain insertion via a common ancestral locus model.
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Has reproduction · 100
Whole-genome sequencing of cryopreserved resources from French Large White pigs at two distinct sampling times reveals strong signatures of convergent and divergent selection between the dam and sire lines.
PMID 36864379 · PMC9979506 · Genetics, selection, evolution : GSE · 2023 · 6 claims · 8 setups
French LWD and LWS lines have lost approximately 5% of the SNPs that segregated in the 1977 ancestral population.
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Has reproduction
Fast, accurate, and racially unbiased pan-cancer tumor-only variant calling with tabular machine learning.
PMID 36611079 · PMC9825621 · NPJ precision oncology · 2023 · 7 claims · 8 setups
Tabular ML classifiers (TabNet, XGBoost, LightGBM) trained on tumor-only-derived features achieve state-of-the-art somatic vs germline classification, with AUC>94% on TCGA holdout and AUC>85% on metastatic melanoma.
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Has reproduction · 30
Minimal metabolic pathway structure is consistent with associated biomolecular interactions.
PMID 24987116 · PMC4299494 · Molecular systems biology · 2014 · 8 claims · 8 setups
MinSpan, a mixed-integer linear optimization algorithm, computes the shortest, linearly independent pathways (sparsest basis of the null space of the stoichiometric matrix S) for genome-scale metabolic networks, which convex approaches (extreme pathways, elementary flux modes) cannot do at genome scale.